completecase
Completecase refers to complete-case analysis, a simple method for handling missing data in statistical analyses by restricting the dataset to observations that have no missing values for the variables being analyzed. It is sometimes called listwise deletion because any case (row) with a missing value is removed from the analysis.
In practice, the approach involves identifying observations with complete data for all variables of interest and
Statistical properties of complete-case analysis depend on the mechanism causing missing data. If data are missing
Implementation varies by software. In R, the complete.cases function identifies complete observations, which can be used
Alternatives to complete-case analysis include multiple imputation, maximum likelihood methods that handle missing data directly, and